The purpose of this work was a simulation study to evaluate the virtual monochromatic (VM) image quality of blood vessels compared to the monochromatic image. Dual-energy images were obtained based on the linear attenuation coefficients of five materials at 50 keV and 80 keV at low- and high-energies, respectively. A weighting factor is required to synthesize the VM image, and the liver and bone were used as basis materials to obtain the weighting factor. VM images were synthesized at energies ranging from 30 keV to 100 keV. Image quality was evaluated by Contrast to noise ratio (CNR) and noise by setting calcium and contrast medium as signals and blood as background. According to the results, the energies with the maximum CNR were 50 keV and 60 keV for calcium and contrast medium, respectively. The energies showing the minimum noise were 70 keV, 70 keV, and 60 keV in calcium, iodine contrast medium, and blood, respectively. The VM image can contribute to the improvement of diagnostic performance in CT examination because it can implement an image at the optimal energy that minimize noise and maximize CNR.
Journal of the Korea Academia-Industrial cooperation Society
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v.22
no.5
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pp.537-542
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2021
This paper improves the possibility of recognizing fast-moving objects through the YOLO (You Only Look Once) deep learning recognition model in an application environment for object recognition in images. The purpose was to study the method of collecting semantic data through processing. In the recognition model, the moving object recognition error was identified as unrecognized because of the difference between the frame rate of the camera and the moving speed of the object and a misrecognition due to the existence of a similar object in an environment adjacent to the object. To minimize the recognition errors by compensating for errors, such as unrecognized and misrecognized objects through the proposed data collection method, and applying vision processing technology for the causes of errors that may occur in images acquired for sports (tennis games) that can represent real similar environments. The effectiveness of effective secondary data collection was improved by research on methods and processing structures. Therefore, by applying the data collection method proposed in this study, ordinary people can collect and manage data to improve their health and athletic performance in the sports and health industry through the simple shooting of a smart-phone camera.
The purpose of this study is to provide assistance to the establishment of related policies to improve the level of acceptance and use of smart factories for SMEs in Korea. To this end, the Unified Technology Acceptance Model (UTAUT) was extended to select additional factors that could affect the intention to accept technology, and to demonstrate this. To achieve the research objective, a questionnaire composed of 7-point Likert scales was prepared, and a survey was conducted for manufacturing-related companies. A total of 136 questionnaires were used for statistical processing. As a result of the hypothesis test, performance expectation and social influence had a positive (+) positive effect on voluntary use, but effort expectation and promotion conditions did not have a significant effect. As an extension factor, the network effect and organizational characteristics had a positive (+) effect, and the innovation resistance had a negative effect (-), but the perceived risk had no significant effect. When the size of the company is large, the perceived risk and innovation resistance are low, and the level of influencing factors for veterinary intentions, veterinary intentions, and veterinary behaviors are excluded. Through this study, factors that could have a positive and negative effect on the adoption (reduction) of smart factory-related technologies were identified and factors to be improved and factors to be reduced were suggested. As a result, this study suggests that smart factory-related technologies should be accepted.
Journal of Korea Entertainment Industry Association
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v.15
no.8
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pp.337-349
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2021
This study tried to develop a lifestyle redesign program that can be applied to college students. For program development, the Delphi research method was implemented with 8 experts. Based on previous studies on lifestyle and time use, the first Delphi survey investigated the prioritization of occupations through evaluation instruments, lifestyle types, and living time survey tables. In the second Delphi survey, it was constructed based on the opinions of experts, and when the content validity ratio was low, it was reconstructed by modifying and supplementing it. In the third Delphi survey, while maintaining the framework of the secondary content, the experts' own responses from the second time and the second average score with other experts were presented together. As a result of this study, a program with an average score of 3.88~4.00, a content validity ratio of 1.00, and a convergence of 0.00 was finally derived. In the lifestyle redesign program for college students, the first step of the pre-intervention evaluation is to identify the lifestyle type, apply evaluation tools, and select occupations. In the second step, the lifestyle is redesigned by the intervention execution, and the facilitator intervenes to help college students do well their tasks. The program was developed by encouraging them to practice, checking the lifestyle type change as a result of the intervention in step 3, applying evaluation instruments after the intervention, and ending the program in the last step. This study provided a rationale for using lifestyle redesign program as an intervention to change their occupational performance patterns in order to successfully carry out the life they want.
Journal of The Korean Society of Integrative Medicine
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v.10
no.2
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pp.37-47
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2022
Purpose : We aimed to investigate the effects of nutritional foods on sarcopenia prevention and physical function among the elderly living in rural communities during the COVID-19 pandemic by providing customized nutrition. Methods : This study was conducted in the rural community of SCC. Participants (n=24, over age 65) were randomly assigned into a Protein group (n=12) and a Vitamin group (n=12). The protein group was given 23 g/d of protein (whey, soybean, BCAA) for 8 weeks and the Vitamin group 23 g/d of vitamin (B, C, D, E and mixed minerals such as calcium, magnesium, zinc) for 8 weeks. All participants had their body composition such as height, weight, skeletal muscle mass, body mass index, and body fat percentage, measured using bioelectrical impedance analysis (BIA) and physical function assessed using grip strength and the short physical performance battery (SPPB). Results : At the end of the intervention, there was a significant increase in skeletal muscle mass (p<.01) in the Protein group (p=.002, 4.92 %) compared to the baseline: it increased by 2.33 %. The Vitamin group had a significant increase in body fat percentage after the intervention (p=.001, 15.35 %) compared to the baseline: body fat percentage decreased by 4.49 %. There were no significant differences in left and right Grip strength/Weight, SPPB, 4-m gait speed, chair stand test, and sense of balance in both groups. Conclusion : The findings from this study suggest that 8 weeks of protein intake have a significant effect on skeletal muscle mass and body fat percentage. Protein intake helped promoting the health of the elderly in rural community during the COVID-19 pandemic. It will assist creating a foundation for providing customized nutrition for the elderly in rural community in the future.
The purpose of this study was to understand the integration and clinical practice stress of nursing students and to understand the relationship with department satisfaction. Data collection was from June to July 2021. Data were collected through questionnaires consisting of scales of integration, clinical practice stress, and departmental satisfaction, targeting 3rd and 4th grade nursing students who have had more than one clinical practice experience. A total of 394 copies were analyzed using the SPSS program to analyze the data. As a result of the study, integration showed a positive correlation with department satisfaction (r=.412, p<.01) and a negative correlation with clinical practice stress (r=-.193, p<.01). The predictive factors affecting the department satisfaction of nursing students were integration (β=.406, p<.001) and admission motivation (β=.166, p=.006), which accounted for 20% of the total variance. Integration Performance It was confirmed that the motivation for entering the nursing department affects department satisfaction. In order to increase the department satisfaction of nursing students, it is thought that it is necessary to operate an integration promotion program and department adaptation program from the early stage of admission.
The alarm monitoring technology applied to existing operating ships manages data items such as temperature and pressure with AMS (Alarm Monitoring System) and provides an alarm to the crew should these sensing data exceed the normal level range. In addition, the maintenance of existing ships follows the Planned Maintenance System (PMS). whereby the sensing data measured from the equipment is monitored and if it surpasses the set range, maintenance is performed through an alarm, or the corresponding part is replaced in advance after being used for a certain period of time regardless of whether the target device has a malfunction or not. To secure the reliability and operational safety of ship engine operation, it is necessary to enable advanced diagnosis and prediction based on real-time condition monitoring data. To do so, comprehensive measurement of actual ship data, creation of a database, and implementation of a condition diagnosis monitoring system for condition-based predictive maintenance of auxiliary equipment and piping must take place. Furthermore, the system should enable management of auxiliary equipment and piping status information based on a responsive web, and be optimized for screen and resolution so that it can be accessed and used by various mobile devices such as smartphones as well as for viewing on a PC on board. This update cost is low, and the management method is easy. In this paper, we propose CBM (Condition Based Management) technology, for autonomous ships. This core technology is used to identify abnormal phenomena through state diagnosis and monitoring of pumps and purifiers among ship auxiliary equipment, and seawater and steam pipes among pipes. It is intended to provide performance diagnosis and failure prediction of ship auxiliary equipment and piping for convergence analysis, and to support preventive maintenance decision-making.
Objective : This study aimed to assess the effects of occupation-based lifestyle intervention programs on older adults in the local community. Methods : Nine community-dwelling older individuals participated in this study using a one-group pre-post design. The occupation-based lifestyle intervention program consisted of 12 group sessions, and one individual session was conducted for seven weeks. Occupational balance, activity occupancy, activity participation, depression, health-related quality of life, and program satisfaction were assessed. Results : The average attendance rate of the nine participants was 10.11 (SD=1.36). Overall occupational balance (p=.012), activity participation status (p=.008), performance (p=.012), and satisfaction with activity participation (p=.008) were increased. Furthermore, the results showed changes in leisure time (p=.008) and rest time (p=.008). Finally, there were some improvements in the overall health-related quality of life (p=.034) and depression scores (p=.012). Conclusions : Occupation-based lifestyle intervention programs positively affected occupational balance, activity occupancy, activity participation, depression, and health-related quality of life in community-dwelling older adults. This research suggests promising benefits and feasibility of the program for community-dwelling older adults.
The Journal of the Convergence on Culture Technology
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v.8
no.6
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pp.9-22
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2022
The purpose of this study was to provide basic data on pre-service teacher's education based on cooperative learning-oriented teaching and learning methods by applying cooperative learning to verify the effectiveness of pre-service early childhood teacher's communication and problem-solving ability. In the first semester of 2021, 4th grade students who took the teaching method by subject class opened by department of early childhood education at C university were taught for 11 weeks from March 1st week to May 2nd week in 2021 for 4 hours a week. The results of this study were as follows: First, the average score of interpretive ability was the highest in the sub-areas of communication ability of pre-service early childhood teachers, followed by message conversion ability, role performance ability, self-presentation ability, and goal setting ability in the cooperative learning-oriented teaching method by subject class. Second, in terms of the overall average score of pre-service teacher's problem-solving ability, the average score of post-test was increased compared to the average score of pre-test. Through the cooperative learning-oriented class experience in the university's early childhood teacher training course, it is possible to cultivate the practical ability that can be used variously for the children such as communication ability and problem-solving ability in the early childhood education field. Therefore, it is necessary to provide opportunities for cooperative learning-oriented teaching methods in the teacher's education curriculum.
The Journal of the Convergence on Culture Technology
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v.8
no.6
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pp.429-433
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2022
We analyzed both current local policies and in-depth survey data to find out a way to provide job opportunity and income source to local young people in so-called job guarantee system. The young generation in current Korean society has been experiencing both growth without employment and severe economic inequality at the same time, though they should have taken part actively in social development. Their rights for work and survival have also been threatened and losing hope for the future is an widespread symptom in this generation. Kwangju metropolitan city(KMC) has been supporting certain amount of case income and job experience to young people in Kwangju through a local government policy called Kwangju Young Generation Job Experience Dream Service. In spite of high level of satisfaction from the participants, limitations such as below average job performance level of participants and a barrier in the transition to regular position still remain. This study hopes that a case of Kwangju gives pragmatic insights for a realizable path to expanding universal welfare through assuring job opportunity to the young generation in local area.
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